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Python For Object Oriented Programming (oop) For Beginners
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Python For Object Oriented Programming (oop) For Beginners
[center][Resim: 00fe417377285622bdee482d507d43a6.jpg]
Python For Object Oriented Programming (oop) For Beginners
Published 1/2026
Created by Being Commerce, Being Commerce
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 12 Lectures ( 4h 56m ) | Size: 3.92 GB[/center]
Learn Object Oriented Programming (OOP) with real-world logic, ChatGPT integration, and zero confusion!
What you'll learn
✓ What is Object-Oriented Programming and why it matters in Python
✓ How to create and use classes and objects in real-world projects
✓ The purpose and use of attributes and methods
✓ The 4 pillars of OOP: Encapsulation, Inheritance, Polymorphism, and Abstraction
✓ How to use Visual Studio Code and Python efficiently
✓ How to customize VS Code for better productivity
✓ How to combine and reuse OOP code across files and modules
✓ Best practices for creating and managing Python projects
✓ How to use ChatGPT for debugging, assistance, and code reviews
✓ How to build clean, readable, and scalable Python code with OOP
Requirements
● Basic understanding of Python (variables, print, functions)
● Computer (Windows, Mac, or Linux)
● Stable internet connection
● Willingness to practice along with the lessons
Description
If you've learned Python basics but still don't feel like a true programmer - this is the course that finally bridges the gap.
"Python for Object Oriented Programming (OOP) for Beginners" is not just another coding course. It is a complete transformation for beginners who want to master Python the way professionals actually use it - with Object-Oriented Programming (OOP). Whether you aim to become a developer, data scientist, AI engineer, or automate real-world tasks, OOP is a skill you cannot ignore.
This course starts at zero - but takes you deep.
You will begin with a friendly and simple explanation of what OOP really is - not in textbook terms, but in plain English you can finally understand. You'll learn why OOP matters and how it powers real-world applications like Instagram, YouTube, and ChatGPT.
Then comes the magic.
We break down OOP into real components - classes, objects, attributes, methods - and we help you build them, customize them, combine them, and use them like a pro. You'll get multiple practical projects along the way so you're not just learning... you're doing.
But what makes this course truly powerful?
It doesn't stop at theory. You'll also master Encapsulation, Inheritance, Polymorphism, and Abstraction with real Python code and relatable examples that finally make sense.
Even better - we introduce the power of ChatGPT and AI in this course. You'll learn how to debug your OOP code, ask the right coding questions, and automate programming help using ChatGPT like your own personal tutor.
By the end of this course
• You won't just understand OOP - you'll think in OOP.
• You won't just watch coding - you'll write, fix, and master it.
• You won't feel stuck anymore - you'll feel unstoppable.
If you skip this course, you'll likely waste months trying to understand OOP from scattered tutorials that confuse more than they help. You'll continue asking the same questions like
• "What's the difference between a class and object again?"
• "Why is my code not organized?"
• "How do professionals structure large projects?"
But inside this course, every confusion ends. You'll gain crystal-clear clarity, powerful confidence, and most importantly - a career-ready Python skill.
This is your chance to move from beginner to confident Python programmer with real industry knowledge and solid practice.
Don't miss it.
Who this course is for
■ Beginners who know Python basics and want to master real programming
■ Students or professionals preparing for tech interviews or job roles
■ Self-learners looking to apply Python to projects confidently
■ Developers who find OOP confusing and want clarity
■ Anyone curious about ChatGPT's role in learning Python efficiently
■ Freelancers and entrepreneurs automating their tasks with clean code

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